Welcome to the FAQ page for Infermatic.ai! Here, you can find answers to your questions about large language models and the AI industry. Whether you’re curious about how to use our tools or want to learn more about AI, this page is a great place to start.
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Related Questions
- Are subword tokenizers biased towards frequently occurring words in a language?
- How do subword tokenizers handle out-of-vocabulary (OOV) words, especially rare or low-frequency ones?
- Can subword tokenizers lead to a loss of information for lower rank frequency vocabulary items?
- Do subword tokenizers favor high-frequency words over low-frequency words in the tokenization process?
- How does the choice of subword tokenizer impact the representation of low-frequency vocabulary items?
- Can subword tokenizers exacerbate the issue of low-resource languages or domains with limited training data?
- Are there any techniques to mitigate the potential biases of subword tokenizers towards higher frequency vocabulary items?
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